GuideTechnology
15 min read
CAP Theorem and Consistency Models Explained Without the Myths
What "consistent" means when data is replicated, from linearizability through causal and session guarantees to eventual consistency; what the CAP theorem actually says and why "pick two" misleads; PACELC and the everyday latency trade-off; quorum reads and writes; resolving conflicts; and choosing consistency per feature instead of per system.

